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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Leveraging transcription factors to speed cellobiose fermentation by Saccharomyces cerevisiae
|
|---|---|
| Published in |
Biotechnology for Biofuels and Bioproducts, August 2014
|
| DOI | 10.1186/s13068-014-0126-6 |
| Pubmed ID | |
| Authors |
Yuping Lin, Kulika Chomvong, Ligia Acosta-Sampson, Raíssa Estrela, Jonathan M Galazka, Soo Rin Kim, Yong-Su Jin, Jamie HD Cate |
| Abstract |
Saccharomyces cerevisiae, a key organism used for the manufacture of renewable fuels and chemicals, has been engineered to utilize non-native sugars derived from plant cell walls, such as cellobiose and xylose. However, the rates and efficiencies of these non-native sugar fermentations pale in comparison with those of glucose. Systems biology methods, used to understand biological networks, hold promise for rational microbial strain development in metabolic engineering. Here, we present a systematic strategy for optimizing non-native sugar fermentation by recombinant S. cerevisiae, using cellobiose as a model. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| France | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 2% |
| United States | 1 | 2% |
| France | 1 | 2% |
| Unknown | 59 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 23% |
| Researcher | 13 | 21% |
| Student > Bachelor | 5 | 8% |
| Student > Master | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 10 | 16% |
| Unknown | 11 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 50% |
| Biochemistry, Genetics and Molecular Biology | 12 | 19% |
| Engineering | 3 | 5% |
| Medicine and Dentistry | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 14 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 December 2015.
All research outputs
#6,760,834
of 25,394,764 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#421
of 1,579 outputs
Outputs of similar age
#60,897
of 247,279 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#1
of 20 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,579 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 247,279 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.